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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. 23077
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    Explanations

    words related to specific locations, especially "Sutherland" and "McKinsey."

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to locations and names associated with them

    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
    ela
    -0.69
    ered
    -0.67
     cred
    -0.64
     Kre
    -0.64
    obl
    -0.64
     Stella
    -0.63
    âĵĺ
    -0.63
     Socrates
    -0.62
    ers
    -0.61
    includes
    -0.60
    POSITIVE LOGITS
    ciating
    1.14
    ickson
    0.93
    nery
    0.89
    folk
    0.83
    holders
    0.78
     Lumpur
    0.77
    igious
    0.76
    mble
    0.75
    gary
    0.74
    iverse
    0.73
    Activations Density 0.036%

    No Known Activations