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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. 15441
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    Explanations

    proper nouns and names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    names of people and locations

    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
    etheless
    -0.90
     ageing
    -0.86
     BMC
    -0.77
     realised
    -0.75
     organising
    -0.69
     colourful
    -0.69
     favourites
    -0.69
     realise
    -0.67
     onwards
    -0.66
    âĶĢâĶĢ
    -0.66
    POSITIVE LOGITS
    NBC
    0.82
     Klux
    0.81
    Pac
    0.80
    Congress
    0.68
    Washington
    0.67
    baugh
    0.66
    ola
    0.66
    PAC
    0.65
     County
    0.64
    esville
    0.64
    Activations Density 1.044%

    No Known Activations