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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. 4-RES-JB
    11. 2383
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    Explanations

    elaborate descriptions or explanations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "elaborate" and its variations

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

    No Comments

    Negative Logits
     Mehran
    -0.75
    Shar
    -0.67
    mic
    -0.64
    */(
    -0.64
    ospels
    -0.62
    near
    -0.62
    cipled
    -0.60
    down
    -0.60
    robe
    -0.59
    utral
    -0.59
    POSITIVE LOGITS
     explan
    0.93
     elaborate
    0.85
    vier
    0.80
     arrang
    0.79
     elabor
    0.77
    sheets
    0.75
    ortment
    0.72
    itect
    0.72
    acebook
    0.70
    aeda
    0.69
    Activations Density 0.013%

    No Known Activations