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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. 3-RES-JB
    11. 3403
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    INDEX
    Explanations

    actions leading to consequences or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating negative outcomes or consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bones
    -0.70
    thur
    -0.70
    mens
    -0.69
    foundation
    -0.65
    vor
    -0.65
    fing
    -0.65
     ut
    -0.64
    borne
    -0.62
     spaced
    -0.62
     Sapp
    -0.61
    POSITIVE LOGITS
    ĸļ
    0.93
    swers
    0.88
    interstitial
    0.76
    UE
    0.72
    Results
    0.71
    uments
    0.68
    wcs
    0.68
     results
    0.68
    aneous
    0.67
    actionDate
    0.67
    Activations Density 0.018%

    No Known Activations