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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. 7177
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    Explanations

    prepositional phrases indicating a specific location or context

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in", especially in various contexts and frequencies

    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
    #$
    -0.68
    wine
    -0.68
    raid
    -0.65
    tar
    -0.60
    romeda
    -0.59
    tre
    -0.59
     shalt
    -0.59
    tons
    -0.57
    pez
    -0.57
    IZE
    -0.55
    POSITIVE LOGITS
     terms
    1.29
     regards
    1.23
     spite
    1.22
     relation
    1.04
     lieu
    1.03
     accordance
    1.01
    effic
    0.98
    ordinate
    0.97
     regard
    0.96
    clusions
    0.95
    Activations Density 0.340%

    No Known Activations