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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. 3-RES-JB
    11. 15887
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    Explanations

    proper nouns related to a specific company or person

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "hope"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EVA
    -0.82
    plates
    -0.75
    minded
    -0.72
    ivan
    -0.71
    INTON
    -0.70
    ItemImage
    -0.68
    Issue
    -0.65
    grave
    -0.65
    plate
    -0.65
    ĪĴ
    -0.64
    POSITIVE LOGITS
    ope
    0.93
    opes
    0.80
    vernment
    0.78
    ller
    0.72
    OPE
    0.70
    OPLE
    0.69
    llers
    0.68
    ague
    0.68
    acion
    0.68
    lements
    0.68
    Activations Density 0.013%

    No Known Activations