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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. 2-RES-JB
    11. 6689
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    Explanations

    adjectives describing something as difficult or impossible to achieve

    oai_token-act-pair · gpt-3.5-turbo

    adjectives indicating the quality of being unquestionable or undeniable

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    udeb
    -0.91
    oresc
    -0.90
    ebus
    -0.88
    avers
    -0.86
    raviolet
    -0.81
    otaur
    -0.80
    hetamine
    -0.79
    arte
    -0.76
    regon
    -0.76
    aeper
    -0.75
    POSITIVE LOGITS
     Haram
    0.79
     Danger
    0.75
    âĶĢâĶĢ
    0.74
     resemblance
    0.73
    ãĥĨãĤ£
    0.73
    NESS
    0.71
    itable
    0.70
     remnants
    0.70
    lihood
    0.69
    BILITY
    0.69
    Activations Density 0.036%

    No Known Activations