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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. 6950
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    Explanations

    the word "ret"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "ret" in various contexts

    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
    SHIP
    -0.70
    WAYS
    -0.69
    STD
    -0.68
    )=(
    -0.66
     sake
    -0.59
    BSD
    -0.58
    theless
    -0.58
     Passion
    -0.58
     crates
    -0.57
    女
    -0.57
    POSITIVE LOGITS
    ainer
    1.36
    raction
    1.27
    ribut
    1.23
    raining
    1.18
    rans
    1.17
    rench
    1.14
    itled
    1.10
    reating
    1.09
    arget
    1.05
    renched
    1.05
    Activations Density 0.014%

    No Known Activations