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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. 2-RES-JB
    11. 14101
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    INDEX
    Explanations

    medical conditions or terms ending with 'ob' and having high intensity

    oai_token-act-pair · gpt-3.5-turbo

    references to impairments or disabilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivities
    -0.76
     Flan
    -0.73
    yards
    -0.70
    UAL
    -0.69
     Divinity
    -0.69
     Palm
    -0.68
    HAHA
    -0.66
     guiActiveUnfocused
    -0.66
     Titanic
    -0.65
     hell
    -0.65
    POSITIVE LOGITS
    lique
    1.38
    rien
    1.23
    ilib
    1.17
    acter
    1.17
    edience
    1.15
    esity
    1.15
    ob
    1.11
    oro
    1.06
    edient
    1.06
    ols
    1.05
    Activations Density 0.010%

    No Known Activations