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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. 9-RES-JB
    11. 24278
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    INDEX
    Explanations

    phrases related to social interactions and actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of playfulness and references to societal behavior

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    sequently
    -0.72
     subsequent
    -0.70
    sequent
    -0.69
     previously
    -0.67
     subsequently
    -0.67
    è£ħ
    -0.67
    Additional
    -0.66
    pletion
    -0.65
    Alternatively
    -0.64
    tains
    -0.64
    POSITIVE LOGITS
     everywhere
    0.87
     shit
    0.83
     bullshit
    0.78
     crap
    0.78
     stupid
    0.77
     fools
    0.76
     awfully
    0.74
     fucking
    0.72
     plenty
    0.70
     alot
    0.70
    Activations Density 0.820%

    No Known Activations