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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. 19655
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    Explanations

    dates mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "date"

    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
    BLIC
    -0.83
    HAEL
    -0.80
    æĸ¹
    -0.80
    olulu
    -0.76
    atures
    -0.74
     ACTIONS
    -0.72
    APD
    -0.70
    éĹĺ
    -0.69
    luaj
    -0.68
    uyomi
    -0.67
    POSITIVE LOGITS
     TBD
    0.78
     stamp
    0.78
     stamps
    0.76
    enance
    0.71
    book
    0.68
     dates
    0.67
     palms
    0.67
     stamped
    0.65
     TBA
    0.64
     buggy
    0.64
    Activations Density 0.040%

    No Known Activations