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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. 9567
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    Explanations

    mentions of time periods in relation to events or trends

    oai_token-act-pair · gpt-3.5-turbo

    phrases that refer to the concept of "recentness" in time contexts

    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
    apego
    -0.71
    abilia
    -0.70
    quished
    -0.70
    onto
    -0.68
    onite
    -0.68
    illed
    -0.66
    ourge
    -0.65
    ideo
    -0.64
    in
    -0.63
    load
    -0.63
    POSITIVE LOGITS
     guise
    0.89
     midst
    0.89
     context
    0.87
     manner
    0.86
     fashion
    0.83
     infancy
    0.81
     aftermath
    0.81
     vicinity
    0.81
     afternoon
    0.78
     contexts
    0.76
    Activations Density 0.183%

    No Known Activations