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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. 19477
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    Explanations

    quotations spoken by different individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of dialogue attribution or quotations

    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
    mol
    -0.78
    larg
    -0.68
    enfranch
    -0.68
    Role
    -0.67
    eneg
    -0.67
    rient
    -0.67
     graded
    -0.66
    apers
    -0.65
    isol
    -0.64
    oil
    -0.62
    POSITIVE LOGITS
     Angela
    0.78
     Mr
    0.76
     Nigel
    0.73
     Donna
    0.73
     Melissa
    0.72
     Jan
    0.72
     Ms
    0.71
     Dave
    0.71
     Christine
    0.71
     Charm
    0.71
    Activations Density 0.043%

    No Known Activations