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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. 6-RES-JB
    11. 7182
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to geographical locations and connections between them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    '/
    -0.77
    76561
    -0.68
    ħĭ
    -0.65
    ntil
    -0.64
    ĻĤ
    -0.61
     millenn
    -0.61
    iatus
    -0.61
    RAFT
    -0.60
     opio
    -0.59
    ORTS
    -0.59
    POSITIVE LOGITS
     thence
    0.65
    Rated
    0.64
     Slov
    0.64
     secondly
    0.63
    vl
    0.60
     Ples
    0.59
    lain
    0.58
    elsius
    0.58
    ovo
    0.57
     Colo
    0.57
    Activations Density 0.676%

    No Known Activations