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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. 6-RES-JB
    11. 18890
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    Explanations

    references to a particular word, "Bat," likely related to Batman or bats in general

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "bat" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xia
    -0.77
    perse
    -0.73
    zanne
    -0.73
    zzo
    -0.67
    cember
    -0.66
    FINE
    -0.64
    eous
    -0.64
    mble
    -0.64
    jri
    -0.63
    heimer
    -0.60
    POSITIVE LOGITS
    tered
    1.01
    room
    0.89
    rooms
    0.86
    bat
    0.85
    falls
    0.82
    cher
    0.79
    chet
    0.78
    ched
    0.78
    ting
    0.77
    ches
    0.77
    Activations Density 0.021%

    No Known Activations