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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. 12814
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    INDEX
    Explanations

    instances where something is meeting or failing to meet expectations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to living up to expectations

    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
    catentry
    -0.90
    Applic
    -0.86
    Ħ¢
    -0.84
    Invalid
    -0.82
    vous
    -0.78
    hitting
    -0.70
    orah
    -0.66
    EY
    -0.66
    aila
    -0.66
    ¯
    -0.65
    POSITIVE LOGITS
     womb
    0.70
     Ont
    0.67
     lifestyles
    0.67
     fumes
    0.62
     Bris
    0.61
    agos
    0.61
    izabeth
    0.61
     Brune
    0.60
     adolesc
    0.60
    bleacher
    0.59
    Activations Density 0.238%

    No Known Activations