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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. 0-RES-JB
    6. 11423
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    INDEX
    Explanations

    words related to events or occasions where people gather and socialize, particularly receptions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "reception" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bold
    -0.75
    ogg
    -0.68
    Hide
    -0.66
    xt
    -0.66
    zu
    -0.65
    $$
    -0.63
    Asset
    -0.62
    ml
    -0.62
    add
    -0.62
     Bleach
    -0.61
    POSITIVE LOGITS
     reception
    4.27
     receptions
    1.90
    ception
    1.19
     recept
    1.08
     receipt
    1.04
     banquet
    1.02
     interception
    1.00
     receiving
    0.97
     celebration
    0.96
     rejection
    0.93
    Activations Density 0.018%

    No Known Activations