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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. 86
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    Explanations

    evidence or mention of dangerous substances or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to security threats or hazardous materials

    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
     wheelchair
    -0.72
     halves
    -0.65
     reins
    -0.65
    Simple
    -0.62
    #$
    -0.61
     taxpayers
    -0.61
     dest
    -0.58
     immensely
    -0.58
     simplified
    -0.58
    iku
    -0.57
    POSITIVE LOGITS
     lurking
    1.39
     emanating
    1.33
     occurring
    1.11
     imminent
    0.99
     infiltr
    0.98
     creeping
    0.97
     happening
    0.92
    ulence
    0.91
     circulating
    0.90
     originating
    0.89
    Activations Density 0.370%

    No Known Activations