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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. 12-RES-JB
    11. 3874
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    Explanations

    phrases related to professional improvement and career progress

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to player evaluations in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     solic
    -0.79
     FDA
    -0.77
     LSD
    -0.75
     FOIA
    -0.74
     solicitation
    -0.74
     nonprofits
    -0.73
     vendor
    -0.70
     Vermont
    -0.69
     censor
    -0.69
     statewide
    -0.69
    POSITIVE LOGITS
    Liverpool
    1.48
    Arsenal
    1.38
    âĢ
    1.27
    iverpool
    1.25
     Liverpool
    1.24
    ça
    1.24
    ����
    1.20
    celona
    1.19
    Manchester
    1.18
     Tottenham
    1.18
    Activations Density 0.688%

    No Known Activations