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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. 1-RES-JB
    11. 5136
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    INDEX
    Explanations

    descriptive terms related to wanting or needing something

    oai_token-act-pair · gpt-3.5-turbo

    expressions of longing or aspiration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammy
    -0.93
     Surv
    -0.86
    arding
    -0.65
    annis
    -0.64
    chin
    -0.63
    sk
    -0.63
    onym
    -0.62
    umm
    -0.62
     Solitaire
    -0.60
    iop
    -0.60
    POSITIVE LOGITS
    igslist
    0.97
     fulfillment
    0.93
     desire
    0.93
     desires
    0.90
     thirst
    0.85
     aroused
    0.83
     fulfilled
    0.81
    reprene
    0.78
    rence
    0.77
    MENTS
    0.76
    Activations Density 0.008%

    No Known Activations