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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. 17305
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    Explanations

    phrases related to reason or cause

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize cause and effect relationships

    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
    iac
    -0.73
    iaries
    -0.69
    imensional
    -0.68
    oir
    -0.68
    quet
    -0.67
    aware
    -0.67
    ires
    -0.66
    aire
    -0.66
    icol
    -0.66
    iage
    -0.65
    POSITIVE LOGITS
     sheer
    1.01
     loopholes
    0.81
     fears
    0.80
     lack
    0.79
     concerns
    0.78
    é¾įå¥ij士
    0.74
     advancements
    0.74
     misunderstand
    0.73
     limitations
    0.73
     uncertainties
    0.72
    Activations Density 0.062%

    No Known Activations