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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. 1-RES-JB
    11. 21702
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    INDEX
    Explanations

    phrases indicating a negative outcome

    oai_token-act-pair · gpt-3.5-turbo

    terms related to death, injury, and overwhelming situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wine
    -0.91
    packed
    -0.84
    rolled
    -0.73
    flies
    -0.69
    cloth
    -0.69
    cutting
    -0.68
    minus
    -0.68
    loaded
    -0.66
    stood
    -0.62
    oids
    -0.62
    POSITIVE LOGITS
    BuyableInstoreAndOnline
    1.00
    MpServer
    0.85
    BILITIES
    0.77
     Pwr
    0.77
    nces
    0.76
    --+
    0.74
    SourceFile
    0.72
    taboola
    0.72
    catentry
    0.71
     sqor
    0.71
    Activations Density 0.027%

    No Known Activations