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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. 0-RES-JB
    11. 9865
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    Explanations

    sources of information or references within text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "source" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     takedown
    -0.80
     Bron
    -0.75
     amb
    -0.70
     tir
    -0.69
     mort
    -0.66
     pizz
    -0.65
     row
    -0.65
     hors
    -0.65
     cabin
    -0.65
     manoeuv
    -0.64
    POSITIVE LOGITS
    Source
    4.06
     Source
    2.38
    source
    2.28
    Sources
    2.18
    SOURCE
    2.03
    OURCE
    1.66
     Sources
    1.65
    ources
    1.55
     source
    1.46
    ource
    1.45
    Activations Density 0.022%

    No Known Activations