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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. 10-RES-JB
    11. 2324
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    INDEX
    Explanations

    instances where something is dependent or based on certain conditions

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases that express variability based on circumstances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    boa
    -0.66
    çĦ
    -0.65
    boro
    -0.60
    itsch
    -0.60
    ç«
    -0.59
     Yad
    -0.59
    DER
    -0.58
    76561
    -0.58
    elta
    -0.58
    tsky
    -0.57
    POSITIVE LOGITS
     upon
    1.10
     how
    0.86
     on
    0.85
     critically
    0.82
     depending
    0.81
     whether
    0.80
     Upon
    0.71
    ersed
    0.70
     if
    0.69
     entirely
    0.69
    Activations Density 0.023%

    No Known Activations