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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. 9-RES-JB
    11. 13805
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    Explanations

    words related to ideologies or belief systems

    oai_token-act-pair · gpt-3.5-turbo

    words indicating undesirable or hypocritical behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Grizz
    -0.71
     Cheong
    -0.71
     DRAG
    -0.68
     Costa
    -0.65
     Lever
    -0.64
     Gat
    -0.63
     Berk
    -0.63
     Bots
    -0.62
     Yard
    -0.62
     Kis
    -0.62
    POSITIVE LOGITS
    ical
    1.91
    ically
    1.82
    ics
    1.72
    ological
    1.66
    icism
    1.63
    istical
    1.62
    istic
    1.58
    ic
    1.57
    ism
    1.53
    ology
    1.52
    Activations Density 0.258%

    No Known Activations