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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. 15169
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to captions or subtitles in media content

    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
    prus
    -0.68
    ces
    -0.68
    cester
    -0.63
    lli
    -0.63
     dime
    -0.62
     Expect
    -0.60
    atra
    -0.60
     suspic
    -0.59
    ndra
    -0.59
    dinand
    -0.59
    POSITIVE LOGITS
     caption
    0.98
    deck
    0.88
    edin
    0.85
    ed
    0.83
    acters
    0.83
    Redditor
    0.77
    edly
    0.76
    TextColor
    0.76
    escription
    0.75
    xual
    0.74
    Activations Density 0.008%

    No Known Activations