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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. 4105
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    Explanations

    phrases related to impacting or making decisions with significant consequences

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "on" in various contexts

    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
    ONSORED
    -0.87
    SourceFile
    -0.73
    pac
    -0.71
    osponsors
    -0.69
    YP
    -0.69
    ©¶æ¥µ
    -0.68
    NE
    -0.68
    Pac
    -0.66
    ::::::::
    -0.65
    Allah
    -0.63
    POSITIVE LOGITS
     behalf
    1.59
    erous
    1.57
    etime
    1.00
     unsuspecting
    0.96
    shore
    0.96
     arrival
    0.79
     Sundays
    0.75
    anism
    0.73
    coming
    0.73
    slaught
    0.72
    Activations Density 0.234%

    No Known Activations