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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. 3-RES-JB
    11. 6098
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    Explanations

    phrases or sentences that indicate a usual or common occurrence

    oai_token-act-pair · gpt-3.5-turbo

    phrases that denote a common or typical occurrence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Agenda
    -0.77
    banks
    -0.70
     Tag
    -0.67
     Sheikh
    -0.67
     Orchestra
    -0.66
     Purpose
    -0.64
     Mark
    -0.64
     Kut
    -0.64
     LOT
    -0.63
     Sel
    -0.63
    POSITIVE LOGITS
    entimes
    1.17
     regarded
    0.85
     overlooked
    0.82
     encountered
    0.80
     suspects
    0.79
     referred
    0.79
     assumed
    0.77
     frowned
    0.76
    ©¶æ
    0.74
     exha
    0.74
    Activations Density 0.023%

    No Known Activations