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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. 3-RES-JB
    11. 17994
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific entities or terms related to technical or organizational structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĤ©
    -0.78
    ãĥ´
    -0.73
    taboola
    -0.69
     cir
    -0.66
    ãĥł
    -0.65
    ãĥī
    -0.64
    ãĥĪ
    -0.61
    ãĥķ
    -0.61
     thous
    -0.61
    ãĤ¨ãĥ«
    -0.60
    POSITIVE LOGITS
    OPLE
    0.81
    FORM
    0.81
    ISH
    0.80
    JD
    0.79
    KT
    0.79
    HL
    0.78
    ansion
    0.77
    hent
    0.76
    XY
    0.74
    atcher
    0.74
    Activations Density 0.179%

    No Known Activations