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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
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    Explanations

    the string "fer" with various different activation levels

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "fer" 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
     Decay
    -0.89
     crawl
    -0.62
    INESS
    -0.62
    Analysis
    -0.61
    Os
    -0.59
    VP
    -0.58
     joke
    -0.57
    Bang
    -0.57
     nascent
    -0.56
    Dialogue
    -0.56
    POSITIVE LOGITS
    ocious
    1.08
    andom
    1.08
    rer
    1.06
    rers
    1.01
    rets
    1.01
    dinand
    0.99
    ior
    0.98
    ministic
    0.92
    riers
    0.92
    ring
    0.91
    Activations Density 0.008%

    No Known Activations