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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. 7-RES-JB
    11. 7496
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    Explanations

    names and terms related to specific individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names related to people and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çĭ
    -0.80
    pled
    -0.79
    pling
    -0.77
    oran
    -0.76
    orescence
    -0.74
    sburgh
    -0.72
    UES
    -0.68
    ples
    -0.68
    orescent
    -0.66
    ione
    -0.65
    POSITIVE LOGITS
    maker
    0.90
    liness
    0.85
    makers
    0.83
    ktop
    0.83
     Maker
    0.82
    leans
    0.81
    schild
    0.80
     Tanz
    0.80
    wana
    0.79
    hang
    0.77
    Activations Density 0.085%

    No Known Activations