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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. 11040
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    Explanations

    filtration-related terms or references

    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 @ 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
    ciating
    -0.83
    eanor
    -0.79
    olars
    -0.73
    ILY
    -0.70
    nee
    -0.70
    avement
    -0.68
    retch
    -0.67
    roach
    -0.65
    arrass
    -0.63
    SIGN
    -0.62
    POSITIVE LOGITS
     filters
    0.89
     Filter
    0.82
    filter
    0.82
    operator
    0.82
     filter
    0.81
     filtering
    0.80
    inator
    0.74
    omial
    0.72
     cutoff
    0.72
    arette
    0.70
    Activations Density 0.030%

    No Known Activations