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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 2244
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    Explanations

    references to specific names or terms, potentially related to a particular context or topic

    oai_token-act-pair · gpt-3.5-turbo

    the names and references associated with specific individuals and objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bang
    -0.78
    elsen
    -0.75
    nce
    -0.74
    Interstitial
    -0.65
    slave
    -0.65
    olution
    -0.64
    rity
    -0.64
    ates
    -0.63
    roid
    -0.62
    buck
    -0.62
    POSITIVE LOGITS
    oaded
    0.92
    endium
    0.86
     Osw
    0.82
    comings
    0.75
    Thumbnail
    0.73
    ————
    0.64
    Ú
    0.64
    oad
    0.63
    leans
    0.63
    unct
    0.63
    Activations Density 0.045%

    No Known Activations