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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. 12-RES-JB
    11. 3870
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    Explanations

    sentences containing the word "so" followed by the word "that"

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    the word "so" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dating
    -0.56
     Ples
    -0.56
     Fired
    -0.53
     PLUS
    -0.53
    gall
    -0.53
    @
    -0.51
     extraord
    -0.51
     Purg
    -0.51
    Plus
    -0.51
     Copyright
    -0.48
    POSITIVE LOGITS
    othe
    1.04
    othes
    0.99
    oner
    0.93
     that
    0.92
    apy
    0.89
    aps
    0.86
    aks
    0.80
    oths
    0.79
    bered
    0.77
     they
    0.75
    Activations Density 0.072%

    No Known Activations