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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. 3-RES-JB
    11. 17005
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    INDEX
    Explanations

    phrases related to physical structures or equipment

    oai_token-act-pair · gpt-3.5-turbo

    references to overhead, particularly in the context of expenses or operations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ifying
    -0.92
    eming
    -0.88
    orian
    -0.86
    ifier
    -0.84
    ifiable
    -0.82
    ifies
    -0.82
    onna
    -0.77
    nesia
    -0.77
    ifiers
    -0.75
    ulet
    -0.74
    POSITIVE LOGITS
     overhead
    1.18
     crane
    0.75
     hoops
    0.73
     hovering
    0.70
     tremend
    0.69
    rites
    0.69
     proport
    0.69
    cuts
    0.66
    eatures
    0.65
     cropped
    0.65
    Activations Density 0.007%

    No Known Activations