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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. 7576
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    Explanations

    references to a number of something, often followed by "of"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference groups of people

    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
    afia
    -0.64
     judgement
    -0.62
     rematch
    -0.60
     advert
    -0.60
     redesign
    -0.59
     judgment
    -0.58
    Picture
    -0.57
    RAW
    -0.55
    fters
    -0.55
    rets
    -0.52
    POSITIVE LOGITS
     whom
    0.87
     course
    0.72
    arching
    0.71
    angering
    0.70
    ortunately
    0.67
    course
    0.67
    milo
    0.65
     Tradable
    0.65
     theirs
    0.65
    etheless
    0.63
    Activations Density 0.118%

    No Known Activations