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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. 20568
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    Explanations

    phrases related to quality assessment or approval

    oai_token-act-pair · gpt-3.5-turbo

    expressions of unfavorable evaluations or criticisms

    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
    beit
    -0.68
     irresist
    -0.65
     Neuroscience
    -0.63
    lessness
    -0.62
    iland
    -0.62
    ription
    -0.60
     generously
    -0.60
     Heath
    -0.59
    onomy
    -0.58
    rather
    -0.58
    POSITIVE LOGITS
     anymore
    1.43
     nor
    1.08
    ãĤ®
    0.83
    Ú
    0.82
    ÙIJ
    0.81
     yet
    0.74
    yet
    0.72
     either
    0.70
    vier
    0.69
     unless
    0.69
    Activations Density 0.362%

    No Known Activations