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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. 8-RES-JB
    11. 11186
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    Explanations

    phrases related to actions and instructions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legal concepts and situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lishing
    -0.72
     Petersen
    -0.70
     Mehran
    -0.69
    apult
    -0.68
     Nepal
    -0.66
     Moroc
    -0.64
     Salvador
    -0.63
     Christensen
    -0.62
     Tanz
    -0.61
     Cohn
    -0.61
    POSITIVE LOGITS
    ?,
    1.00
     ;)
    0.86
     wont
    0.85
    iverse
    0.84
     doesnt
    0.84
    -)
    0.80
    ?]
    0.76
     hereby
    0.73
    ?",
    0.73
    ?".
    0.71
    Activations Density 1.235%

    No Known Activations