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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. 7-RES-JB
    11. 17950
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    Explanations

    words related to negative consequences, criticisms, and failures

    oai_token-act-pair · gpt-3.5-turbo

    factors that contribute to crises or emergencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    steen
    -0.68
     Wonderful
    -0.63
    esse
    -0.63
     breeze
    -0.62
    FINE
    -0.61
    Fla
    -0.60
    Congratulations
    -0.60
    ratulations
    -0.59
    reetings
    -0.59
    perties
    -0.59
    POSITIVE LOGITS
     unus
    1.10
     inability
    1.09
     stagnation
    1.07
     worse
    1.06
     Worse
    1.04
     inefficient
    1.03
     deteriorated
    1.01
     unreliable
    1.01
     inexper
    0.99
     badly
    0.98
    Activations Density 1.494%

    No Known Activations