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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. 9086
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered 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
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    Negative Logits
    hement
    -0.71
    oway
    -0.64
    toe
    -0.64
    ngth
    -0.60
    heit
    -0.55
    awed
    -0.55
    bent
    -0.55
    rador
    -0.54
    worth
    -0.52
    hower
    -0.51
    POSITIVE LOGITS
    Phys
    0.74
     guiActiveUnfocused
    0.67
    20439
    0.67
    ocaust
    0.65
    misc
    0.61
     Videos
    0.60
    STR
    0.60
     Video
    0.59
     ï
    0.59
     ILCS
    0.59
    Activations Density 0.036%

    No Known Activations