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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 12792
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    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with travel and exploration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibrary
    -0.78
    umn
    -0.72
    uga
    -0.68
    arel
    -0.66
    mx
    -0.66
    owl
    -0.65
    bidden
    -0.65
    ince
    -0.63
    ÃŃn
    -0.63
    ode
    -0.63
    POSITIVE LOGITS
     accordingly
    1.25
     alike
    0.91
     thereafter
    0.90
     thereof
    0.78
     resultant
    0.77
     afterward
    0.76
     afterwards
    0.75
     consequ
    0.74
     whichever
    0.70
     respectively
    0.68
    Activations Density 0.753%

    No Known Activations