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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. 2-RES-JB
    11. 19007
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    Explanations

    words related to permissions or approvals

    oai_token-act-pair · gpt-3.5-turbo

    terms related to clearance and authorization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amed
    -0.73
    eva
    -0.70
    hed
    -0.70
    ram
    -0.68
    Sn
    -0.67
    oeuv
    -0.65
    sn
    -0.65
    repl
    -0.65
    Johnson
    -0.64
    rame
    -0.64
    POSITIVE LOGITS
     clearance
    1.44
     waivers
    0.87
     clears
    0.80
     cleared
    0.79
     thresholds
    0.75
     paperwork
    0.73
     slips
    0.71
     cx
    0.71
     approvals
    0.71
     proofs
    0.71
    Activations Density 0.005%

    No Known Activations