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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. 8-RES-JB
    11. 11071
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    INDEX
    Explanations

    mentions of pre-planned activities or events

    oai_token-act-pair · gpt-3.5-turbo

    references to planning or strategic decision-making

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    »Ĵ
    -0.74
    olor
    -0.68
     roam
    -0.67
    yi
    -0.66
    oka
    -0.66
    joice
    -0.66
    otta
    -0.65
    onna
    -0.64
    izens
    -0.64
    igr
    -0.63
    POSITIVE LOGITS
     deterrence
    0.89
     timeframe
    0.83
     timing
    0.79
     overdue
    0.78
     postponed
    0.77
     deliberations
    0.77
     anticipated
    0.76
     deterrent
    0.76
     warranted
    0.75
     negotiations
    0.74
    Activations Density 0.930%

    No Known Activations