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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. 0-RES-JB
    11. 5349
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    Explanations

    phrases expressing strong opinions or directives

    oai_token-act-pair · gpt-3.5-turbo

    urgent requests or pleas for action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MpServer
    -0.77
     tender
    -0.63
     eff
    -0.62
     ribbon
    -0.62
     counterparts
    -0.62
     bitters
    -0.61
     chunks
    -0.59
     tang
    -0.59
    ¯¯¯¯¯¯¯¯
    -0.58
     Victory
    -0.57
    POSITIVE LOGITS
    amac
    0.80
    ultural
    0.77
    ylum
    0.75
    ULT
    0.73
    reditary
    0.72
    ahar
    0.69
    sonian
    0.68
    amina
    0.68
    ultan
    0.67
    lest
    0.67
    Activations Density 0.000%

    No Known Activations