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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. 4-RES-JB
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    Explanations

    mentions of the word "Cat" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Cat" in various contexts

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

    No Comments

    Negative Logits
    mble
    -1.00
    hower
    -0.80
     Seym
    -0.77
    æĸ¹
    -0.75
     htt
    -0.74
    orship
    -0.74
    ngth
    -0.73
    ickr
    -0.72
    ITED
    -0.69
     plur
    -0.67
    POSITIVE LOGITS
    aclysm
    1.28
    apult
    1.21
    heter
    0.94
    fish
    0.93
    anz
    0.90
    idon
    0.88
    claw
    0.88
    cher
    0.88
    Cat
    0.86
     Cat
    0.84
    Activations Density 0.009%

    No Known Activations