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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. 4563
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    INDEX
    Explanations

    names or terms with "Schm" followed by a character or set of characters

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'm'

    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
    EStream
    -0.72
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.70
    DragonMagazine
    -0.63
     pitch
    -0.63
    */(
    -0.62
     iP
    -0.62
    gerald
    -0.61
    irtual
    -0.61
    IBLE
    -0.61
     foul
    -0.60
    POSITIVE LOGITS
    ichael
    1.20
    otor
    1.20
    ormon
    1.16
    asonry
    1.14
    asonic
    1.13
    obil
    1.12
    useum
    1.11
    obiles
    1.09
    ortal
    1.08
    aiden
    1.07
    Activations Density 0.057%

    No Known Activations