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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. 11-RES-JB
    11. 17187
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    INDEX
    Explanations

    verbs related to intentions, plans, or aspirations

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing intentions or goals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    ool
    -0.56
    inian
    -0.54
    ergy
    -0.53
    arya
    -0.51
    uman
    -0.50
    ONES
    -0.50
     Asked
    -0.50
    Kings
    -0.50
    chin
    -0.50
    resp
    -0.49
    POSITIVE LOGITS
     to
    1.02
    to
    0.73
    toc
    0.71
    To
    0.70
     TO
    0.68
     thereto
    0.66
     To
    0.63
    rive
    0.61
    rils
    0.61
    antly
    0.58
    Activations Density 0.182%

    No Known Activations