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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. 6-RES-JB
    11. 7649
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    Explanations

    generic terms or labels that are commonly used without specificity

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "generic" and its variations, indicating a focus on generic or bland descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otos
    -0.77
    cano
    -0.77
    olulu
    -0.74
    orah
    -0.73
    rey
    -0.71
    kers
    -0.71
    oir
    -0.71
    rero
    -0.70
    Jenn
    -0.70
    Sea
    -0.70
    POSITIVE LOGITS
    ization
    0.85
     differentiation
    0.79
    isable
    0.77
    ised
    0.74
     applic
    0.73
    isation
    0.73
     naming
    0.71
     error
    0.69
    ALLY
    0.69
     generic
    0.69
    Activations Density 0.020%

    No Known Activations