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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
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    Explanations

    phrases related to aspirations or desires

    oai_token-act-pair · gpt-3.5-turbo

    phrases or expressions related to aspirations and dreams

    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
    ento
    -0.93
    abus
    -0.75
     brackets
    -0.72
    Case
    -0.64
    emphasis
    -0.64
     modifier
    -0.63
    ials
    -0.63
     surveys
    -0.63
    note
    -0.63
    pite
    -0.62
    POSITIVE LOGITS
     immortality
    0.96
     someday
    0.85
     nostalg
    0.85
    thood
    0.83
     Worlds
    0.82
     heights
    0.81
     paradise
    0.78
     visions
    0.78
     Dream
    0.78
    umar
    0.75
    Activations Density 0.173%

    No Known Activations