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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. 7-RES-JB
    11. 5131
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    Explanations

    phrases indicating something is more or less a certain way

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing a comparative sense of lesser quantity or degree

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sands
    -0.79
    osa
    -0.66
     Canterbury
    -0.66
    afety
    -0.66
    lin
    -0.65
    Rus
    -0.63
    ieties
    -0.63
    iens
    -0.63
    was
    -0.63
    hower
    -0.63
    POSITIVE LOGITS
     intact
    0.80
     compensated
    0.73
     mileage
    0.70
    etheless
    0.70
     indistinguishable
    0.69
     stabilized
    0.66
     unnoticed
    0.65
     retard
    0.65
     fingert
    0.65
    ingu
    0.64
    Activations Density 0.018%

    No Known Activations