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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. 13875
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    Explanations

    descriptions of product features and specifications

    oai_token-act-pair · gpt-3.5-turbo

    references to safety measures and protective qualities

    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
    ©¶æ
    -0.88
    è£ħ
    -0.75
    photos
    -0.65
     )]
    -0.61
    çīĪ
    -0.59
     Photos
    -0.58
    ãĢij
    -0.57
     Saras
    -0.57
    bernatorial
    -0.56
     Tai
    -0.54
    POSITIVE LOGITS
     indistinguishable
    0.75
     anyway
    0.74
     nonetheless
    0.73
     anyways
    0.70
    instead
    0.66
    .<
    0.65
     whereas
    0.65
     regardless
    0.62
    .[
    0.61
    NULL
    0.61
    Activations Density 1.663%

    No Known Activations