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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. 9337
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    past participles and terms related to significant events or effects

    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
    osate
    -0.75
    atever
    -0.74
    utics
    -0.73
    IDES
    -0.72
    omics
    -0.70
    ascript
    -0.70
    arate
    -0.69
    ARA
    -0.68
    uala
    -0.68
    uther
    -0.67
    POSITIVE LOGITS
     portion
    1.01
     portions
    0.74
    ãĥ¤
    0.72
    est
    0.71
     lineup
    0.69
     corpse
    0.69
     contents
    0.69
     unnamed
    0.68
     entity
    0.68
     situation
    0.68
    Activations Density 0.201%

    No Known Activations