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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. 10-RES-JB
    11. 4429
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    Explanations

    punctuation marks followed by words related to expressing emotions or opinions

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     conditioned
    -0.83
     tremend
    -0.78
     attrition
    -0.75
     disciplines
    -0.75
     stubborn
    -0.75
     compulsion
    -0.75
     expend
    -0.74
     territ
    -0.74
     deserts
    -0.73
     essential
    -0.72
    POSITIVE LOGITS
    Later
    1.31
    Others
    1.22
    Scroll
    1.20
     Later
    1.16
    SPONSORED
    1.09
    Actor
    1.08
    Elsewhere
    1.08
     Afterwards
    1.07
    Another
    1.05
    Refer
    1.04
    Activations Density 0.331%

    No Known Activations