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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. 9401
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    Explanations

    phrases related to dealing with various situations or issues

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "dealing" and its variations related to handling situations or problems

    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
    asus
    -0.75
    fil
    -0.74
    fram
    -0.73
    si
    -0.70
    ifer
    -0.65
    trop
    -0.60
    etheus
    -0.60
    jac
    -0.58
    Bir
    -0.58
     Fulton
    -0.57
    POSITIVE LOGITS
    cohol
    0.85
     harshly
    0.78
    atform
    0.76
    hani
    0.69
    ussions
    0.69
    halla
    0.69
     deals
    0.68
     Jagu
    0.68
    hips
    0.68
    ptin
    0.67
    Activations Density 0.017%

    No Known Activations