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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. 9002
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    Explanations

    proper nouns related to educational institutions or locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of 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
    berman
    -0.76
    ahon
    -0.71
    VALUE
    -0.69
    Ö¼
    -0.67
    omsky
    -0.66
    ircraft
    -0.66
    ACTION
    -0.66
    ORT
    -0.63
    STR
    -0.62
    USS
    -0.62
    POSITIVE LOGITS
     Parish
    0.94
    âĦ¢:
    0.74
     Baptist
    0.71
    auga
    0.70
     Islands
    0.67
     Awakens
    0.66
    ilda
    0.66
     fri
    0.65
     Spani
    0.64
     Rai
    0.63
    Activations Density 0.039%

    No Known Activations