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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. 2094
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    Explanations

    terms related to testing or experimentation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "test" 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
     parcels
    -0.69
    Scotland
    -0.67
    displayText
    -0.66
    Ô
    -0.65
     Levant
    -0.62
    channelAvailability
    -0.61
    amia
    -0.61
    lins
    -0.60
    inki
    -0.60
    ãĥī
    -0.60
    POSITIVE LOGITS
    formance
    0.76
     hypotheses
    0.74
     readiness
    0.67
    prep
    0.67
    grad
    0.66
     exams
    0.66
     evaluating
    0.65
     efficacy
    0.65
     Prel
    0.64
     Eval
    0.63
    Activations Density 0.196%

    No Known Activations