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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. 13679
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    Explanations

    words related to filters and filtering processes

    oai_token-act-pair · gpt-3.5-turbo

    references to filtering processes or materials

    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
    ciating
    -0.82
    eanor
    -0.78
    nee
    -0.69
    retch
    -0.68
    olars
    -0.67
    peak
    -0.65
    lished
    -0.65
    roach
    -0.64
    SIGN
    -0.63
    ngth
    -0.63
    POSITIVE LOGITS
     filters
    0.87
     Filter
    0.82
    filter
    0.81
     filter
    0.80
     filtering
    0.78
     cutoff
    0.74
    operator
    0.74
    arette
    0.73
    inator
    0.72
     sweeps
    0.71
    Activations Density 0.014%

    No Known Activations