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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. 6-RES-JB
    11. 9153
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    INDEX
    Explanations

    comparisons or quantity-related statements

    oai_token-act-pair · gpt-3.5-turbo

    comparative phrases highlighting differences or similarities among groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istries
    -0.80
    arta
    -0.63
     Properties
    -0.61
    achine
    -0.61
    FTWARE
    -0.56
    akeru
    -0.56
    */(
    -0.56
    £ı
    -0.55
    arios
    -0.55
     QC
    -0.55
    POSITIVE LOGITS
     slightest
    0.90
     usual
    0.85
    average
    0.84
    usual
    0.81
     average
    0.76
     actual
    0.69
     mere
    0.68
    ramids
    0.68
     ordinary
    0.67
     predecessors
    0.65
    Activations Density 0.179%

    No Known Activations