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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 1577
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.39
    berman
    -0.30
    mel
    -0.30
    bard
    -0.30
    cel
    -0.29
     Pwr
    -0.29
    phil
    -0.28
    aments
    -0.28
    cknow
    -0.28
    enei
    -0.28
    POSITIVE LOGITS
    igible
    0.35
     lasts
    0.34
    ãĥ³ãĤ¸
    0.34
    ãĤ´ãĥ³
    0.34
    ividual
    0.34
     lasted
    0.34
    éĹĺ
    0.34
    nesday
    0.33
    idth
    0.33
     onward
    0.33
    Activations Density 2.896%

    No Known Activations