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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. 4255
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    Explanations

    mentions of a specific name "Ca"

    oai_token-act-pair · gpt-3.5-turbo

    references to calcium

    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
    schild
    -1.03
    geist
    -0.91
    bucks
    -0.81
    HCR
    -0.79
    eering
    -0.74
    RANT
    -0.71
    states
    -0.70
    doms
    -0.69
    OWER
    -0.69
    blance
    -0.69
    POSITIVE LOGITS
    esar
    1.19
    ution
    0.99
    ption
    0.93
    usa
    0.89
    utes
    0.87
    xton
    0.82
    UTION
    0.81
    iba
    0.81
    iber
    0.81
    plin
    0.80
    Activations Density 0.007%

    No Known Activations