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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. 9-RES-JB
    11. 23770
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    Explanations

    phrases related to pickup activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to choices and decision-making

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anmar
    -0.65
    rency
    -0.63
     unfocusedRange
    -0.63
     Glob
    -0.61
     halls
    -0.60
    issance
    -0.60
     oath
    -0.59
    enment
    -0.59
    ibia
    -0.58
     sanct
    -0.57
    POSITIVE LOGITS
    ockets
    0.80
    itiveness
    0.72
    Brow
    0.71
    oggle
    0.71
     Logged
    0.71
    aws
    0.67
    licks
    0.67
    une
    0.62
    onomy
    0.61
    Click
    0.61
    Activations Density 0.209%

    No Known Activations