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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. 13623
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    Explanations

    proper names of individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    names of people and locations

    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
    inator
    -0.83
    uers
    -0.80
    reme
    -0.75
    isphere
    -0.75
    inators
    -0.75
    uctor
    -0.74
    tymology
    -0.73
    emort
    -0.73
    ordinate
    -0.72
    uary
    -0.72
    POSITIVE LOGITS
     McKay
    1.08
     Danger
    0.79
    #$#$
    0.74
    patrick
    0.69
     CBD
    0.69
    IRO
    0.69
     Scarborough
    0.65
    gow
    0.65
     Whitney
    0.65
     Shoals
    0.63
    Activations Density 0.013%

    No Known Activations