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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. 7-RES-JB
    11. 251
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    INDEX
    Explanations

    phrases indicating a significant or large quantity of something

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to large quantities or significant amounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idden
    -0.67
     Doodle
    -0.67
    aring
    -0.66
     Commissioners
    -0.66
     Frontier
    -0.66
    rones
    -0.65
    abad
    -0.63
    draft
    -0.63
    ired
    -0.61
     elig
    -0.61
    POSITIVE LOGITS
     (>
    0.79
     of
    0.77
    bang
    0.71
    UID
    0.70
     (~
    0.68
    pour
    0.65
    Sensor
    0.63
     overlap
    0.62
    çĶ°
    0.60
    Rot
    0.59
    Activations Density 0.059%

    No Known Activations