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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. 4-RES-JB
    11. 9255
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    Explanations

    words related to violent or criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to criminal activities and significant events

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

    No Comments

    Negative Logits
    adeon
    -0.76
    aya
    -0.69
    atomic
    -0.68
    asma
    -0.63
     peach
    -0.60
    hem
    -0.60
    amiya
    -0.59
    ocado
    -0.59
     advoc
    -0.59
    afety
    -0.58
    POSITIVE LOGITS
     spree
    0.73
     embold
    0.72
    nings
    0.71
     announcement
    0.71
     debacle
    0.70
    forth
    0.69
    rences
    0.68
     spate
    0.67
     prompted
    0.64
     sparked
    0.64
    Activations Density 0.661%

    No Known Activations