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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. 9858
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    sentences that denote significant points or conclusions

    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
    plet
    -0.75
     unconscious
    -0.71
     cre
    -0.70
     atom
    -0.69
     emotion
    -0.68
     imperson
    -0.65
     barric
    -0.65
    anting
    -0.65
     cycl
    -0.64
     orderly
    -0.64
    POSITIVE LOGITS
     Lastly
    1.47
     Finally
    1.22
     Again
    1.19
     Together
    1.15
     Whereas
    1.13
     Both
    1.10
     Though
    1.08
     Notably
    1.07
     Overall
    1.05
     Additionally
    1.05
    Activations Density 0.589%

    No Known Activations