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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. 13788
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    Explanations

    requests or offers related to assistance or collaboration

    oai_token-act-pair · gpt-3.5-turbo

    first-person pronouns and phrases indicating requests or offers

    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
    Not in Any Lists

    No Comments

    Negative Logits
    aults
    -0.72
    netflix
    -0.72
    velength
    -0.70
    etheless
    -0.69
    reens
    -0.69
    tree
    -0.67
    asma
    -0.66
    Marginal
    -0.66
     totality
    -0.66
    ancouver
    -0.65
    POSITIVE LOGITS
     Promise
    0.99
     recommend
    0.93
     promise
    0.86
     gladly
    0.74
     advise
    0.74
    'm
    0.74
     suggest
    0.72
    udic
    0.70
     presume
    0.70
    'll
    0.69
    Activations Density 0.260%

    No Known Activations