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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. 3-RES-JB
    11. 6936
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    INDEX
    Explanations

    instances where a cause and effect relationship is discussed

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "because" used to explain reasons or justifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lem
    -0.78
    Sham
    -0.75
    yan
    -0.71
    Luc
    -0.71
    Eye
    -0.70
    nin
    -0.69
    Gas
    -0.69
     Roller
    -0.67
    agin
    -0.66
    mint
    -0.66
    POSITIVE LOGITS
    */(
    0.94
    endment
    0.84
    ãħĭ
    0.76
     proxies
    0.71
    ecause
    0.71
    uristic
    0.71
    akening
    0.71
    assetsadobe
    0.69
    ĸļ
    0.69
    urities
    0.68
    Activations Density 0.080%

    No Known Activations