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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. 16750
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    Explanations

    phrases related to observations or opinions about various subjects

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "to see" in 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
    é¾
    -0.77
    taboola
    -0.67
    nesia
    -0.65
    ÃŃa
    -0.65
    orem
    -0.64
     translator
    -0.64
    ium
    -0.63
    ella
    -0.63
     prophes
    -0.62
     hardest
    -0.61
    POSITIVE LOGITS
    enance
    0.78
     parallels
    0.76
     someone
    0.69
    ablishment
    0.69
     him
    0.68
     PSU
    0.68
     how
    0.68
     similarities
    0.65
     such
    0.63
     somebody
    0.62
    Activations Density 0.044%

    No Known Activations