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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. 0-RES-JB
    11. 23129
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    Explanations

    mentions of victims

    oai_token-act-pair · gpt-3.5-turbo

    references to victims in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idge
    -0.70
    rient
    -0.68
    hip
    -0.65
    ium
    -0.65
    pole
    -0.65
    ship
    -0.65
    ron
    -0.64
    starter
    -0.63
    llan
    -0.63
    nut
    -0.63
    POSITIVE LOGITS
     victims
    3.69
     Victims
    2.97
     victim
    2.63
     survivors
    2.19
     perpetrators
    2.15
     Victim
    2.11
     victimized
    1.87
    vict
    1.86
     Survivors
    1.79
     abusers
    1.65
    Activations Density 0.022%

    No Known Activations