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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. 6-RES-JB
    11. 17485
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to organization and sequence

    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
    tek
    -1.00
     Gim
    -0.68
    kamp
    -0.67
    fires
    -0.66
    Madison
    -0.65
    mp
    -0.65
    erm
    -0.65
    PLIED
    -0.65
    WF
    -0.65
     Spit
    -0.64
    POSITIVE LOGITS
     alphabet
    1.06
     sorting
    0.98
     chronological
    0.86
     comma
    0.84
     precedence
    0.83
     branching
    0.83
     clust
    0.81
     grouping
    0.79
     hierarch
    0.79
     ordering
    0.78
    Activations Density 0.107%

    No Known Activations