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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. 10-RES-JB
    11. 6527
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    INDEX
    Explanations

    mentions of speeches or public presentations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Spe" and its variations within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĻ¦
    -0.66
    ORED
    -0.66
    quickShipAvailable
    -0.65
    upon
    -0.65
     Pradesh
    -0.62
    etheless
    -0.60
     responsibility
    -0.60
    IVES
    -0.58
    imately
    -0.57
     Mercury
    -0.56
    POSITIVE LOGITS
    culation
    1.40
    eches
    1.30
    ciation
    1.22
    edy
    1.21
    lling
    1.19
    akers
    1.15
    cul
    1.14
    aker
    1.13
    cies
    1.10
    eding
    1.09
    Activations Density 0.017%

    No Known Activations