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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. 3-RES-JB
    11. 18113
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    Explanations

    phrases related to attending events or classes

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "attend" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    deal
    -0.66
    irus
    -0.64
    shock
    -0.62
    cised
    -0.62
    Hom
    -0.60
    smart
    -0.60
     fluid
    -0.59
     nerv
    -0.59
    foundland
    -0.58
    PRESS
    -0.58
    POSITIVE LOGITS
     Attend
    0.94
     attend
    0.91
    ees
    0.88
    uates
    0.87
     attends
    0.82
    eret
    0.81
     attendance
    0.76
    uated
    0.75
    iaries
    0.74
     RTX
    0.74
    Activations Density 0.016%

    No Known Activations