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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. 16373
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    Explanations

    words related to interests or preferences

    oai_token-act-pair · gpt-3.5-turbo

    expressions of interest, passion, and affinity towards various subjects or activities

    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
    eor
    -0.71
     Blueprint
    -0.66
    mans
    -0.64
    err
    -0.63
    theless
    -0.61
    bris
    -0.58
    construct
    -0.57
     helicop
    -0.56
     Offic
    -0.55
    ModLoader
    -0.55
    POSITIVE LOGITS
     toward
    0.95
     towards
    0.94
    rence
    0.83
     affinity
    0.79
    atical
    0.78
     fascination
    0.77
    entric
    0.76
     quot
    0.76
    inity
    0.75
    acy
    0.75
    Activations Density 0.188%

    No Known Activations