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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. 9-RES-JB
    11. 18056
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    INDEX
    Explanations

    phrases related to balancing different factors or considerations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate ongoing actions or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.73
    ople
    -0.72
    click
    -0.72
    cit
    -0.70
    illet
    -0.69
    iotic
    -0.68
    omb
    -0.68
    orb
    -0.66
    é¾
    -0.65
    oux
    -0.65
    POSITIVE LOGITS
     maintaining
    1.53
     retaining
    1.51
     preserving
    1.47
     minimizing
    1.44
     simultaneously
    1.41
     avoiding
    1.38
     ensuring
    1.36
     respecting
    1.26
     keeping
    1.23
     ignoring
    1.22
    Activations Density 0.058%

    No Known Activations