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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. 11321
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    Explanations

    conditional statements about hypothetical scenarios

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases indicating what could have happened under different circumstances

    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
    ãģ®ç
    -0.72
    verend
    -0.68
    76561
    -0.67
    FIELD
    -0.65
    atana
    -0.65
     stump
    -0.60
     dishes
    -0.60
    ©¶æ¥µ
    -0.59
     disinfect
    -0.59
     reiterate
    -0.59
    POSITIVE LOGITS
    tal
    0.77
     existed
    0.75
    rounded
    0.73
    ugg
    0.71
     Polly
    0.70
     âĢİ
    0.68
    poons
    0.65
    Had
    0.65
    essors
    0.64
    uttered
    0.63
    Activations Density 0.220%

    No Known Activations