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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. 7-RES-JB
    11. 2146
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    Explanations

    locations or positions

    oai_token-act-pair · gpt-3.5-turbo

    words indicating time, location, or sequence of events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    axy
    -0.63
     flo
    -0.58
    elligent
    -0.58
     opin
    -0.57
     Atkinson
    -0.57
     quir
    -0.56
    erie
    -0.55
    genre
    -0.55
     rand
    -0.53
     Whitman
    -0.52
    POSITIVE LOGITS
    soDeliveryDate
    0.92
    è£ħ
    0.84
    SourceFile
    0.82
    */(
    0.82
    actionDate
    0.80
    pload
    0.78
    zac
    0.78
     Vulkan
    0.72
    £ı
    0.71
    tesy
    0.70
    Activations Density 0.693%

    No Known Activations