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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. 4-RES-JB
    11. 2273
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    oai_token-act-pair · gpt-3.5-turbo

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

    No Comments

    Negative Logits
    enfranch
    -0.64
     Derby
    -0.63
     poss
    -0.60
    unic
    -0.60
    rown
    -0.58
    itialized
    -0.58
    purpose
    -0.57
    lease
    -0.57
     Pump
    -0.57
     purchasing
    -0.57
    POSITIVE LOGITS
     regarding
    0.84
     promulg
    0.83
    BOOK
    0.82
     Interpret
    0.80
     relating
    0.79
     concerning
    0.79
     formulated
    0.76
     pertaining
    0.76
     uttered
    0.76
    books
    0.75
    Activations Density 0.388%

    No Known Activations