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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 12-RES-JB
    11. 4813
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    Explanations

    physical actions or interactions in a public setting, such as gestures, speaking at a conference, smiling, or listening to someone speak

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    actions that involve movement or gestures in a public or political context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Export
    -0.75
    ©¶æ¥µ
    -0.75
    izoph
    -0.74
    Fail
    -0.70
    aroo
    -0.70
    ĺħ
    -0.69
    iHUD
    -0.68
    ccording
    -0.67
    indal
    -0.67
    Orderable
    -0.65
    POSITIVE LOGITS
     during
    1.21
     while
    1.09
     as
    1.03
     afterward
    1.01
     onstage
    0.98
     after
    0.98
     following
    0.98
     amid
    0.97
     prior
    0.94
     backstage
    0.93
    Activations Density 0.308%

    No Known Activations