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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    instances of the word "horizon"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "horizon" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    UGC
    -0.86
    NetMessage
    -0.78
    ERC
    -0.74
    hiro
    -0.73
    ongyang
    -0.72
    GB
    -0.72
    uana
    -0.71
    acca
    -0.70
    oly
    -0.68
    çİĭ
    -0.68
    POSITIVE LOGITS
     horizon
    1.25
    izons
    1.13
     wip
    0.81
    naire
    0.81
    izon
    0.75
     hawk
    0.72
    ward
    0.71
     lobe
    0.70
     2100
    0.64
     ledge
    0.64
    Activations Density 0.006%

    No Known Activations