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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. 8-RES-JB
    11. 10505
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    Explanations

    words related to strong desires or motivations

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing desire or motivation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mans
    -0.83
    vae
    -0.74
    struct
    -0.71
    krit
    -0.71
     Surv
    -0.70
    iannopoulos
    -0.69
    found
    -0.66
    lasses
    -0.65
    ammy
    -0.65
    uddin
    -0.64
    POSITIVE LOGITS
     fulfilled
    1.03
     fulfillment
    0.96
    igslist
    0.92
    lessly
    0.86
     fulfil
    0.79
     vengeance
    0.76
    ful
    0.76
     aroused
    0.76
     revenge
    0.74
    reprene
    0.71
    Activations Density 0.044%

    No Known Activations