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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. 3492
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    Explanations

    phrases related to a specific subject matter, possibly financial or economic in nature

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific item or concept repeatedly identified as "one."

    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
    osponsors
    -0.87
    inders
    -0.82
    untu
    -0.76
    obar
    -0.74
    ories
    -0.74
    allas
    -0.73
    inity
    -0.72
     srf
    -0.68
    iliated
    -0.65
    hips
    -0.65
    POSITIVE LOGITS
     guy
    1.01
     dude
    0.92
     bothered
    0.88
     thing
    0.79
     pesky
    0.79
     hundred
    0.78
     caveat
    0.77
     liner
    0.77
     kid
    0.77
     particular
    0.77
    Activations Density 0.044%

    No Known Activations