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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. 7-RES-JB
    11. 11533
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    Explanations

    verbs related to significant changes or improvements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to transformation and change

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    PLIED
    -0.71
    REL
    -0.70
    ramid
    -0.68
    llah
    -0.64
    wolf
    -0.61
    akening
    -0.60
    runner
    -0.59
    bis
    -0.59
    Son
    -0.59
     LIMITED
    -0.59
    POSITIVE LOGITS
    ively
    0.92
    ives
    0.82
    atile
    0.80
    ational
    0.77
     into
    0.76
     transforms
    0.75
     transform
    0.73
    atform
    0.72
    ibility
    0.72
     Tradable
    0.72
    Activations Density 0.043%

    No Known Activations