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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. 11-RES-JB
    11. 3807
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    INDEX
    Explanations

    positive adjectives related to personal attributes or accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that convey intensity or positivity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hner
    -0.61
    ocalypse
    -0.57
     shortage
    -0.57
    vous
    -0.57
     Difference
    -0.55
     Offic
    -0.55
     Summit
    -0.54
     typo
    -0.54
     exclusive
    -0.54
    minent
    -0.53
    POSITIVE LOGITS
    aneously
    1.31
    heartedly
    1.13
     distances
    1.08
     enough
    1.03
    ly
    0.98
    handedly
    0.96
    edly
    0.95
    balls
    0.92
    istically
    0.91
    rily
    0.91
    Activations Density 0.282%

    No Known Activations