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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. 6-RES-JB
    11. 1625
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    Explanations

    phrases emphasizing importance, significance, or impact

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express the importance or significance of a role in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.67
    atri
    -0.66
    arus
    -0.65
     butterflies
    -0.64
     roomm
    -0.63
    fts
    -0.61
    Pic
    -0.60
    avorite
    -0.59
    umb
    -0.59
    umbs
    -0.58
    POSITIVE LOGITS
     determining
    0.80
     helping
    0.79
    âĹ¼
    0.78
     role
    0.74
     influencing
    0.71
     facilitating
    0.71
     shaping
    0.70
     assisting
    0.69
    hler
    0.69
     alongside
    0.66
    Activations Density 0.072%

    No Known Activations