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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. 1-RES-JB
    11. 22826
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    Explanations

    phrases related to different categories or labels

    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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    worldly
    -0.79
     metic
    -0.79
    icably
    -0.77
    thur
    -0.70
    ©¶æ
    -0.69
    nex
    -0.68
    cha
    -0.68
    ¬¼
    -0.68
    senal
    -0.67
     favourites
    -0.67
    POSITIVE LOGITS
    ————
    0.75
    /"
    0.74
    >>\
    0.74
     referring
    0.71
    agy
    0.69
    icago
    0.66
    ]"
    0.66
     implying
    0.66
     meaning
    0.65
    ricane
    0.64
    Activations Density 0.044%

    No Known Activations