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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. 9-RES-JB
    11. 1718
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    Explanations

    mentions of desert environments

    oai_token-act-pair · gpt-3.5-turbo

    references to desert environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ttle
    -0.78
    soType
    -0.74
    OPA
    -0.72
    yright
    -0.71
    inventoryQuantity
    -0.71
    OA
    -0.69
    tle
    -0.68
    nder
    -0.68
    enny
    -0.65
    Reviewer
    -0.65
    POSITIVE LOGITS
     sands
    0.99
    ification
    0.99
    ashtra
    0.98
     tort
    0.92
     dwell
    0.92
    urous
    0.81
    ion
    0.81
     island
    0.81
     dwelling
    0.78
     wasteland
    0.78
    Activations Density 0.037%

    No Known Activations