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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. 4-RES-JB
    11. 8592
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    Explanations

    phrases where fault or blame is attributed

    oai_token-act-pair · gpt-3.5-turbo

    references to blame or fault attribution

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

    No Comments

    Negative Logits
    sov
    -0.83
    eston
    -0.77
    CHO
    -0.76
    iolet
    -0.76
    chin
    -0.76
    ago
    -0.74
    rooms
    -0.73
    女
    -0.71
    atos
    -0.71
    xon
    -0.69
    POSITIVE LOGITS
    lessly
    0.93
     faults
    0.91
     fault
    0.89
     forgiven
    0.88
     Fault
    0.81
    ously
    0.77
    errors
    0.72
    lessness
    0.68
     piety
    0.68
    less
    0.67
    Activations Density 0.006%

    No Known Activations