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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. 4-RES-JB
    11. 16872
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    Explanations

    phrases related to presenting information or individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "presented"

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

    No Comments

    Negative Logits
    ne
    -0.64
    illion
    -0.63
    assin
    -0.63
    luster
    -0.62
    leen
    -0.62
    tery
    -0.62
    umph
    -0.61
    sei
    -0.61
    si
    -0.60
     corps
    -0.60
    POSITIVE LOGITS
    eering
    0.86
    icts
    0.84
    ĸļ
    0.83
     Present
    0.83
    Present
    0.80
    present
    0.78
    ocument
    0.77
    OWS
    0.77
     presentations
    0.77
    ENTS
    0.77
    Activations Density 0.019%

    No Known Activations