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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. 3-RES-JB
    11. 12920
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    Explanations

    events or occasions that are being held or will be held

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "held" in relation to events or conventions

    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
     deceive
    -0.72
    clerosis
    -0.68
    economic
    -0.65
    ————
    -0.64
    ulo
    -0.64
    inx
    -0.63
    ettel
    -0.62
    ogens
    -0.61
    ixel
    -0.60
     exhaustion
    -0.59
    POSITIVE LOGITS
     sway
    0.83
     Held
    0.82
    held
    0.81
    hold
    0.79
     captive
    0.79
    ãĥĺ
    0.75
     held
    0.75
    holding
    0.74
     accountable
    0.74
    ezvous
    0.73
    Activations Density 0.027%

    No Known Activations