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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. 7-RES-JB
    11. 13992
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Sym
    -0.59
    lihood
    -0.58
    anse
    -0.53
     LIA
    -0.53
     issuer
    -0.52
    ociate
    -0.52
    sym
    -0.52
    bernatorial
    -0.52
    rawler
    -0.51
    manac
    -0.51
    POSITIVE LOGITS
     instead
    0.93
     anyways
    0.93
     anyway
    0.90
     rather
    0.90
     anymore
    0.83
    +.
    0.79
     or
    0.75
     :)
    0.74
     :-)
    0.73
    !".
    0.73
    Activations Density 0.651%

    No Known Activations