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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. 8364
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    Explanations

    mentions of different kinds of crops

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the term 'crop' in various contexts

    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
    auga
    -0.78
    querque
    -0.78
    olulu
    -0.77
    gettable
    -0.74
    mercial
    -0.73
    hips
    -0.72
    ioned
    -0.71
    cester
    -0.71
    ipple
    -0.70
     cumbers
    -0.68
    POSITIVE LOGITS
     crops
    0.83
     crop
    0.74
     growers
    0.74
    corn
    0.71
     buds
    0.70
    Var
    0.68
    kernel
    0.67
     Rollins
    0.66
     Cutter
    0.65
    Farm
    0.65
    Activations Density 0.007%

    No Known Activations