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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. 6-RES-JB
    11. 13629
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    Explanations

    descriptions of events or products that are highlighted or emphasized

    oai_token-act-pair · gpt-3.5-turbo

    content that describes specific attributes or characteristics of objects or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sis
    -1.02
    externalActionCode
    -0.80
    alty
    -0.77
    apy
    -0.74
    atum
    -0.73
    gee
    -0.72
    vernment
    -0.71
    si
    -0.70
    abus
    -0.68
    zy
    -0.67
    POSITIVE LOGITS
     prominently
    1.43
    ttes
    0.84
    istors
    0.77
     features
    0.76
     clips
    0.74
    Feature
    0.72
     Include
    0.71
    features
    0.69
     elements
    0.69
    :-
    0.67
    Activations Density 0.043%

    No Known Activations