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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. 11029
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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 @ 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
     =================================================================
    -0.72
    ————————
    -0.68
    ====
    -0.65
     ********************************
    -0.61
    ARR
    -0.61
     juggling
    -0.61
    âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦
    -0.60
    ________________________________
    -0.59
    />
    -0.59
     ----------------------------------------------------------------
    -0.59
    POSITIVE LOGITS
    foundland
    0.71
    ween
    0.65
    cession
    0.63
     Orig
    0.63
    obos
    0.63
    senal
    0.63
    ornia
    0.62
    ille
    0.62
    luaj
    0.61
     coasts
    0.60
    Activations Density 0.297%

    No Known Activations