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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. 22330
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    Explanations

    adjectives describing remarkable or significant things

    oai_token-act-pair · gpt-3.5-turbo

    words that describe extraordinary or notable events and qualities

    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
     Pengu
    -0.69
    heit
    -0.67
    ancock
    -0.67
    avering
    -0.66
    lement
    -0.66
    undle
    -0.65
    BILITY
    -0.65
    ahime
    -0.65
    ploy
    -0.64
    SEA
    -0.64
    POSITIVE LOGITS
     resembling
    0.74
    enos
    0.72
     besides
    0.71
     smelling
    0.70
    lime
    0.70
    isable
    0.69
    ific
    0.68
    iates
    0.68
    ropri
    0.68
    cooked
    0.67
    Activations Density 0.080%

    No Known Activations