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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. 1-RES-JB
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    Explanations

    phrases related to parks and recreational areas

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Parks"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oldemort
    -0.72
     presumptive
    -0.66
    rd
    -0.66
    ients
    -0.65
    minded
    -0.64
    raq
    -0.64
    ctr
    -0.63
    jad
    -0.63
    nir
    -0.63
     rush
    -0.62
    POSITIVE LOGITS
     Parks
    1.21
    conservancy
    0.99
    park
    0.85
    itect
    0.84
    mallow
    0.76
    DragonMagazine
    0.75
     Park
    0.73
    manship
    0.72
    Park
    0.72
    opa
    0.71
    Activations Density 0.007%

    No Known Activations