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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. 10-RES-JB
    11. 21850
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    Explanations

    mentions of the end of something, like the end of a sentence or a career

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "end" regardless of context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Aval
    -0.70
    CHA
    -0.65
    alcohol
    -0.64
    quit
    -0.64
    vered
    -0.61
     absor
    -0.60
    hement
    -0.59
    sed
    -0.59
    hee
    -0.57
    sat
    -0.57
    POSITIVE LOGITS
    ragon
    1.38
    ulum
    1.06
    ering
    0.91
    erer
    0.90
    angered
    0.87
    oodle
    0.87
    elman
    0.87
    owment
    0.87
    rick
    0.86
    ricks
    0.86
    Activations Density 0.036%

    No Known Activations