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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. 2027
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    Explanations

    adjectives describing emotional reactions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong emotional reactions and opinions

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Brief
    -0.63
     indist
    -0.60
     gradual
    -0.60
    uly
    -0.59
    equ
    -0.59
    escal
    -0.58
     freely
    -0.58
    few
    -0.57
    arser
    -0.57
    annis
    -0.57
    POSITIVE LOGITS
     indeed
    0.68
    ––
    0.68
     considering
    0.67
    hyde
    0.65
    ãĤ¬
    0.64
    ktop
    0.64
    rez
    0.62
    mercial
    0.62
    Ùĩ
    0.62
     insofar
    0.62
    Activations Density 0.400%

    No Known Activations