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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
    11. 1429
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    INDEX
    Explanations

    mentions of sports events and game results

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "at" indicating specific locations or events

    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
    FTWARE
    -0.74
    alpha
    -0.66
    INESS
    -0.66
    itarian
    -0.64
    hops
    -0.63
    photo
    -0.63
    sett
    -0.63
     Emails
    -0.63
    shell
    -0.63
    ships
    -0.62
    POSITIVE LOGITS
     halftime
    1.19
     least
    1.07
    las
    0.93
     midfield
    0.92
    onement
    0.87
     fullback
    0.87
    letico
    0.86
     home
    0.84
     variance
    0.82
     podium
    0.81
    Activations Density 0.148%

    No Known Activations