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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. 4678
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    Explanations

    words related to objects or places with long and thin shapes

    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
     exclusive
    -0.63
     exclus
    -0.62
     presumptive
    -0.61
     commend
    -0.57
    $$$$
    -0.57
     unprepared
    -0.57
     surrender
    -0.56
     preference
    -0.56
     defaults
    -0.55
     guarding
    -0.55
    POSITIVE LOGITS
    ooky
    1.43
    rawl
    1.31
    anish
    1.27
    ooked
    1.23
    leen
    1.23
    ooks
    1.21
    irtual
    1.19
    ruce
    1.18
    rit
    1.18
    anking
    1.17
    Activations Density 0.012%

    No Known Activations