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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. 14195
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    INDEX
    Explanations

    phrases related to specific locations or instructions

    oai_token-act-pair · gpt-3.5-turbo

    negation or negative phrases

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     flirt
    -0.74
     Dickinson
    -0.70
     emoji
    -0.68
     caution
    -0.67
     troop
    -0.63
     hon
    -0.63
     Hudson
    -0.63
     hiber
    -0.62
     Codec
    -0.62
     induct
    -0.62
    POSITIVE LOGITS
    style
    1.23
    sized
    1.23
    turned
    1.21
    sama
    1.16
    based
    1.16
    inspired
    1.12
    type
    1.12
    cum
    1.09
    induced
    1.09
    selves
    1.06
    Activations Density 0.217%

    No Known Activations