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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
    11. 12181
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    INDEX
    Explanations

    expressions of belief, opinion, or expectation

    oai_token-act-pair · gpt-3.5-turbo

    words related to assessments or evaluations of situations

    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
    catentry
    -0.69
     unequ
    -0.62
     digs
    -0.61
    Contents
    -0.60
    Poké
    -0.60
    keys
    -0.60
    checks
    -0.60
     reminders
    -0.59
     divid
    -0.59
     stamps
    -0.59
    POSITIVE LOGITS
    ij士
    0.79
    cipled
    0.75
    lessly
    0.75
    reprene
    0.74
     aloud
    0.74
    acle
    0.73
    erest
    0.70
    sonian
    0.69
    yip
    0.69
    inery
    0.69
    Activations Density 0.143%

    No Known Activations