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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. 1-RES-JB
    11. 20904
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    Explanations

    colors followed by specific objects or attributes

    oai_token-act-pair · gpt-3.5-turbo

    colors and their combinations related to clothing and appearance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =-=-=-=-
    -1.07
     guiActiveUn
    -0.89
    Players
    -0.78
    Chance
    -0.75
    IENT
    -0.75
    ovie
    -0.75
    Dispatch
    -0.74
    igham
    -0.71
    oÄŁ
    -0.70
    NOR
    -0.70
    POSITIVE LOGITS
     ribbon
    0.96
     oval
    0.93
     coated
    0.92
     metallic
    0.92
     striped
    0.91
     violet
    0.91
     stain
    0.89
     translucent
    0.88
     tint
    0.88
     stained
    0.88
    Activations Density 0.111%

    No Known Activations