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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. 9-RES-JB
    11. 2616
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    Explanations

    phrases indicating strong agreement or confirmation

    oai_token-act-pair · gpt-3.5-turbo

    affirmative statements or expressions of agreement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inese
    -0.70
     rall
    -0.65
    -+-+
    -0.65
     Gleaming
    -0.65
    bage
    -0.64
    vati
    -0.63
    versions
    -0.62
    perial
    -0.61
    IAL
    -0.58
    isf
    -0.58
    POSITIVE LOGITS
    terday
    1.60
    hua
    0.84
     sir
    0.83
    TER
    0.73
     indeed
    0.70
    hur
    0.70
     yes
    0.68
    vel
    0.67
    ,
    0.66
    eed
    0.63
    Activations Density 0.029%

    No Known Activations