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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. 3-RES-JB
    11. 18631
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    Explanations

    phrases related to preventing or discouraging actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to prevention or deterrence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammy
    -0.78
    olini
    -0.77
    ioch
    -0.71
    iop
    -0.69
    ocalypse
    -0.65
    swick
    -0.65
     Mesa
    -0.64
     halls
    -0.64
     deed
    -0.62
     Maiden
    -0.61
    POSITIVE LOGITS
    ministic
    1.67
    minist
    1.43
     deter
    1.02
    red
    0.86
    rence
    0.84
     dissu
    0.79
    gent
    0.79
    ptive
    0.77
    forced
    0.75
    ingly
    0.74
    Activations Density 0.008%

    No Known Activations