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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
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    INDEX
    Explanations

    mentions of "Lot" or "lottery"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "lot" in various contexts

    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
    zyk
    -0.75
     Advocate
    -0.73
    igent
    -0.65
     Prohibition
    -0.64
    âĻ¦
    -0.63
    Adv
    -0.63
     satirical
    -0.62
    shire
    -0.62
     testim
    -0.61
     Channel
    -0.61
    POSITIVE LOGITS
    tery
    1.53
    ter
    1.13
    uses
    0.88
    oys
    0.87
    ions
    0.83
    umen
    0.83
    adium
    0.81
    umin
    0.80
    stones
    0.79
    ortment
    0.79
    Activations Density 0.045%

    No Known Activations