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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 9801
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    Explanations

    information about events or meetings that are scheduled to be held

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "held" related to events or gatherings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     deceive
    -0.77
    clerosis
    -0.69
    ettel
    -0.64
    inx
    -0.63
     adventurer
    -0.62
    kes
    -0.61
     bandits
    -0.60
    odor
    -0.59
    include
    -0.59
    ocious
    -0.58
    POSITIVE LOGITS
    zona
    0.84
    itud
    0.83
     accountable
    0.82
     hostage
    0.81
     sway
    0.81
     Held
    0.78
     captive
    0.77
     vigil
    0.76
    ãĥĺ
    0.76
     referen
    0.71
    Activations Density 0.028%

    No Known Activations