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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. 23739
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    Explanations

    strong adjectives typically related to intensifying or emphasizing a quality

    oai_token-act-pair · gpt-3.5-turbo

    sections of text that include the substring "und"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Ĥİ
    -0.72
    ij士
    -0.69
    SHIP
    -0.67
    à¼
    -0.65
    Discussion
    -0.64
    ppo
    -0.63
    zzo
    -0.63
     FIRE
    -0.63
    ongyang
    -0.63
     speakers
    -0.62
    POSITIVE LOGITS
    aunted
    1.25
    etermined
    1.22
    iscovered
    1.19
    oubt
    1.11
    efined
    1.11
    oubted
    1.10
    oubtedly
    1.09
    ifferent
    1.04
    irect
    1.03
    ried
    1.03
    Activations Density 0.025%

    No Known Activations