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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. 9420
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    Explanations

    phrases related to dealing with challenges or difficulties

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "cope" and its variations, indicating strategies for handling difficulties or challenges

    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
    lav
    -0.71
    ended
    -0.69
    eneg
    -0.69
    cise
    -0.67
    enic
    -0.67
    anamo
    -0.65
    rust
    -0.65
    cius
    -0.64
    stab
    -0.63
    prem
    -0.63
    POSITIVE LOGITS
     cope
    0.84
     horizont
    0.79
     shenan
    0.78
     coping
    0.74
     arrang
    0.74
     survives
    0.72
    heet
    0.72
     adolesc
    0.70
    estyles
    0.70
    acebook
    0.70
    Activations Density 0.011%

    No Known Activations