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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. 9-RES-JB
    11. 13862
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    Explanations

    phrases related to presenting an opinion or perspective

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of concepts related to "the idea" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Coverage
    -0.65
     ILCS
    -0.64
    ãĤ¹
    -0.62
    gio
    -0.62
    ãĤ
    -0.62
     Sie
    -0.61
    ãĤĵ
    -0.60
    hma
    -0.60
    ãĤĮ
    -0.60
     Kats
    -0.60
    POSITIVE LOGITS
     hatched
    0.86
     moot
    0.83
     horr
    0.82
    ually
    0.82
     premise
    0.77
     behind
    0.76
     idea
    0.75
     floated
    0.73
     of
    0.72
    itious
    0.72
    Activations Density 0.040%

    No Known Activations