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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. 9-RES-JB
    11. 2495
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    Explanations

    adjectives starting with 'un-' indicating negation or reversal

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tut
    -0.72
     Away
    -0.67
     drawer
    -0.65
     ank
    -0.65
     Ajax
    -0.65
     briefs
    -0.64
     Psychology
    -0.63
     Delivery
    -0.62
     mistress
    -0.62
     Communities
    -0.61
    POSITIVE LOGITS
    balanced
    1.40
    readable
    1.35
    assuming
    1.31
    ruly
    1.29
    qualified
    1.25
    important
    1.24
    earned
    1.24
    anticipated
    1.23
    confirmed
    1.22
    interesting
    1.21
    Activations Density 0.029%

    No Known Activations