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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. 6-RES-JB
    11. 9255
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    the end of a document or text structure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.72
    irlf
    -0.72
    opath
    -0.66
    ruciating
    -0.65
    çĭ
    -0.64
     Pwr
    -0.64
    nesday
    -0.63
    rity
    -0.63
    rium
    -0.62
    orea
    -0.62
    POSITIVE LOGITS
    bow
    1.24
    bows
    1.03
    phrine
    1.01
    makers
    0.95
    maker
    0.91
    drops
    0.89
    backer
    0.88
    xual
    0.88
    ier
    0.87
    forest
    0.84
    Activations Density 0.034%

    No Known Activations