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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. 6-RES-JB
    11. 14993
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    Explanations

    mentions of individuals in a context suggesting endorsement or affiliation

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiActiveUnfocused
    -1.04
     variance
    -0.80
     adolesc
    -0.70
     discrep
    -0.67
    usterity
    -0.67
     Circus
    -0.66
     Obst
    -0.62
     record
    -0.62
     fertility
    -0.61
     GOODMAN
    -0.61
    POSITIVE LOGITS
    ates
    1.04
    alone
    0.95
    said
    0.90
    ¯
    0.90
    Į
    0.87
    should
    0.87
    was
    0.86
    dl
    0.85
    £
    0.85
    could
    0.85
    Activations Density 0.153%

    No Known Activations