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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. 6-RES-JB
    11. 2866
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    Explanations

    adjectives or descriptions related to lengths of time

    oai_token-act-pair · gpt-3.5-turbo

    references to long-term concepts or durations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leck
    -0.78
    illard
    -0.75
    IRO
    -0.75
    ILA
    -0.72
    atche
    -0.67
     Compass
    -0.66
    ECH
    -0.65
    Always
    -0.64
    unin
    -0.64
    ramid
    -0.63
    POSITIVE LOGITS
    itud
    1.28
     overdue
    1.07
    itudinal
    1.07
    lasting
    1.05
    sword
    1.05
     lasting
    1.00
     ago
    0.99
    itude
    0.98
     enough
    0.92
    leaf
    0.91
    Activations Density 0.054%

    No Known Activations