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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. 1-RES-JB
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    Explanations

    instances of the word "gave" followed by a number indicating the strength of giving or allocation

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the verb "gave"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĸ¬
    -0.70
     Âł Âł Âł Âł
    -0.65
    âī
    -0.65
    Chall
    -0.64
    IA
    -0.64
    Jr
    -0.64
    {{
    -0.63
    ãĥĵ
    -0.63
    =-=-=-=-
    -0.62
    Í
    -0.61
    POSITIVE LOGITS
    aways
    0.89
    staking
    0.79
     Pwr
    0.78
     generously
    0.74
    giving
    0.73
     Gifts
    0.73
    hend
    0.73
    nesday
    0.72
    ĸļ
    0.72
     precedence
    0.71
    Activations Density 0.017%

    No Known Activations