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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. 7869
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    Explanations

    words related to programs or organized activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various programs or initiatives

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Jr
    -0.72
    hiro
    -0.72
    pg
    -0.66
     stake
    -0.64
    vg
    -0.62
    vae
    -0.61
    ulf
    -0.61
    yll
    -0.61
    ournaments
    -0.61
    lake
    -0.61
    POSITIVE LOGITS
    mable
    1.20
     programme
    1.13
     programmes
    1.10
     Programme
    1.03
    matic
    1.01
    matically
    0.96
    eers
    0.82
    ĸļ
    0.78
    mers
    0.74
    caster
    0.74
    Activations Density 0.020%

    No Known Activations