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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. 3557
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    INDEX
    Explanations

    contexts where things are described or happening in every possible way or on every possible occasion

    oai_token-act-pair · gpt-3.5-turbo

    references to inclusivity and diversity across various contexts

    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
    onite
    -0.76
    agra
    -0.71
    eka
    -0.70
    odan
    -0.68
     Rost
    -0.66
    odore
    -0.64
     daughters
    -0.63
     ERA
    -0.63
     Poe
    -0.62
    omas
    -0.59
    POSITIVE LOGITS
     imaginable
    1.50
     conceivable
    1.10
     except
    0.97
     whatsoever
    0.96
    except
    0.87
     Including
    0.84
     including
    0.80
    ãĤ«
    0.76
     alike
    0.76
    Except
    0.75
    Activations Density 0.188%

    No Known Activations