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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 9648
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    INDEX
    Explanations

    mentions of the word "Snow" followed by numerals representing a rating or measurement

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Snow" in various contexts

    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
    igious
    -0.84
    izabeth
    -0.71
    ulhu
    -0.70
    ����
    -0.69
    ishi
    -0.68
    ect
    -0.66
    ributed
    -0.64
    ista
    -0.64
    hetical
    -0.64
    ugu
    -0.64
    POSITIVE LOGITS
    flake
    1.34
     Snow
    1.05
     Leopard
    0.94
     Crash
    0.83
    dale
    0.82
     Wolves
    0.81
    tro
    0.80
    storms
    0.80
    bats
    0.79
    balls
    0.78
    Activations Density 0.005%

    No Known Activations