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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. 4636
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    Explanations

    keywords related to valuable or useful information

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

    terms associated with worth and importance

    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
    Not in Any Lists

    No Comments

    Negative Logits
    uph
    -0.72
    acceptable
    -0.67
    essor
    -0.66
    pard
    -0.65
    Problem
    -0.65
    âĸ¬âĸ¬
    -0.63
    eve
    -0.62
    chev
    -0.60
    akedown
    -0.59
    âķIJ
    -0.59
    POSITIVE LOGITS
     idiots
    1.16
    ness
    0.81
     resources
    0.79
     adjunct
    0.75
     ingred
    0.75
     commodities
    0.75
     possessions
    0.74
     resource
    0.74
    NESS
    0.73
     metals
    0.72
    Activations Density 0.140%

    No Known Activations