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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. 255
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    Explanations

    words related to public speaking or presentations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "speaker" or variations of it

    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
    etheless
    -0.86
     guiActiveUnfocused
    -0.73
    sym
    -0.70
     Leilan
    -0.67
    ORED
    -0.65
    MpServer
    -0.61
     Pradesh
    -0.60
    imaru
    -0.59
    terday
    -0.59
    thur
    -0.57
    POSITIVE LOGITS
    eches
    1.11
    lling
    1.05
    aker
    1.04
    akers
    1.00
    ciation
    0.99
    culation
    0.98
    eding
    0.98
    edy
    0.97
    cker
    0.95
    cious
    0.93
    Activations Density 0.013%

    No Known Activations