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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. 8623
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    Explanations

    mentions of programs or initiatives

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various programs

    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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    No Comments

    Negative Logits
    illac
    -0.81
    mund
    -0.70
    yll
    -0.70
    hiro
    -0.68
    cyl
    -0.67
    thal
    -0.66
    ped
    -0.65
    iants
    -0.64
    uct
    -0.64
    ourke
    -0.64
    POSITIVE LOGITS
     programme
    1.10
     programmes
    1.09
     Programme
    0.97
    mable
    0.86
    eers
    0.78
     learnt
    0.73
    ĸļ
    0.67
    matic
    0.67
    caster
    0.66
    casters
    0.65
    Activations Density 0.038%

    No Known Activations