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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. 4-RES-JB
    11. 16804
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    Explanations

    volumes or measurements expressed in milliliters

    oai_token-act-pair · gpt-3.5-turbo

    measurements and units related to volume and capacity

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

    No Comments

    Negative Logits
    rex
    -0.74
    ricular
    -0.74
    POSE
    -0.70
    nces
    -0.66
    beat
    -0.66
    Downloadha
    -0.65
    paralle
    -0.65
    uliffe
    -0.65
    ULTS
    -0.63
    âĸ¬
    -0.62
    POSITIVE LOGITS
    inking
    0.86
    anguage
    0.85
    aden
    0.85
    umber
    0.84
    ied
    0.84
    ml
    0.83
    ister
    0.83
    wagen
    0.81
    isk
    0.81
    vl
    0.81
    Activations Density 0.010%

    No Known Activations