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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. 23994
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    Explanations

    phrases related to movements or actions

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "peep" or related sounds and structures in words

    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
    vez
    -0.68
    ãĥ´
    -0.67
    ĻĤ
    -0.65
    AMS
    -0.64
     Templar
    -0.62
     unman
    -0.62
    VI
    -0.61
     Vall
    -0.61
    folios
    -0.61
    ãĥ¯ãĥ³
    -0.61
    POSITIVE LOGITS
    ingly
    1.30
    iness
    1.03
    ings
    1.02
    eworthy
    0.98
     inducing
    0.93
    ing
    0.93
    dropping
    0.93
    hole
    0.89
     wink
    0.89
    holes
    0.88
    Activations Density 0.229%

    No Known Activations