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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. 10-RES-JB
    11. 4953
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    Explanations

    phrases related to long-term concepts/events

    oai_token-act-pair · gpt-3.5-turbo

    references to long-term concepts or discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Thumbnails
    -0.68
    selves
    -0.66
     dstg
    -0.65
    leck
    -0.65
     comprom
    -0.64
     Ambro
    -0.61
    LI
    -0.61
    IRO
    -0.60
    onom
    -0.59
     Compass
    -0.59
    POSITIVE LOGITS
     awaited
    1.22
    itudinal
    1.16
     overdue
    1.13
    shore
    1.12
    itud
    1.07
    lasting
    1.03
    term
    1.02
    sword
    0.99
    standing
    0.95
     term
    0.94
    Activations Density 0.053%

    No Known Activations