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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. 0-RES-JB
    11. 15075
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    Explanations

    words related to estimation or approximation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to estimation and approximations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     fields
    -0.69
     cand
    -0.64
     letters
    -0.63
     letter
    -0.62
     Fields
    -0.62
     fronts
    -0.61
     rows
    -0.61
     row
    -0.61
     hall
    -0.60
     issues
    -0.59
    POSITIVE LOGITS
    imate
    4.71
    imates
    2.65
    imating
    2.64
    imation
    2.57
    imated
    2.53
    imately
    1.64
    ablish
    1.33
    imize
    1.22
    imum
    1.19
    ima
    1.15
    Activations Density 0.011%

    No Known Activations