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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. 18466
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    Explanations

    the name "Pot" followed by a string of characters

    oai_token-act-pair · gpt-3.5-turbo

    references to "Pot" or related terms in various contexts

    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
     silence
    -0.73
     obser
    -0.69
    âĸ¬
    -0.68
     stride
    -0.66
    ean
    -0.63
    ĸļ
    -0.63
    Ń·
    -0.62
    */(
    -0.62
    anwhile
    -0.62
    IGH
    -0.62
    POSITIVE LOGITS
    atoes
    1.52
    assium
    1.47
    entially
    1.14
    luck
    1.08
    ential
    1.06
    entials
    1.04
    tery
    1.00
    ato
    0.99
    hesda
    0.97
    Pot
    0.92
    Activations Density 0.009%

    No Known Activations