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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. 3876
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    Explanations

    references to visual art

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of artwork and weaponry

    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
    ney
    -0.86
    light
    -0.83
    eln
    -0.81
    gio
    -0.75
    rique
    -0.75
    gas
    -0.74
    zel
    -0.72
    icle
    -0.72
    lear
    -0.71
    leon
    -0.71
    POSITIVE LOGITS
    isSpecialOrderable
    0.69
    SourceFile
    0.68
    INGTON
    0.65
     bom
    0.65
    atts
    0.64
    æ©Ł
    0.64
     arrang
    0.60
     caused
    0.60
     supplied
    0.58
     Introduced
    0.58
    Activations Density 0.192%

    No Known Activations