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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. 11211
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    INDEX
    Explanations

    numerical values that include a range or deviation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to margins of error, particularly negative values

    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
    lied
    -0.84
    urrent
    -0.83
    kamp
    -0.82
    uay
    -0.81
    ollen
    -0.80
    istle
    -0.80
    akings
    -0.77
    ravings
    -0.77
    anca
    -0.76
    ells
    -0.76
    POSITIVE LOGITS
    minus
    1.00
    cules
    0.95
     minus
    0.81
     (-
    0.74
     Scotia
    0.69
    /-
    0.66
     penn
    0.65
     maiden
    0.64
     latitude
    0.64
     magnification
    0.64
    Activations Density 0.009%

    No Known Activations