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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. 11-RES-JB
    11. 13367
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    Explanations

    phrases related to land use and development

    oai_token-act-pair · gpt-3.5-turbo

    terms related to land use and its implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Whedon
    -0.69
     Eps
    -0.68
     percept
    -0.66
     bitters
    -0.64
     Giles
    -0.63
     Klu
    -0.63
     Mehran
    -0.61
     bos
    -0.61
     Marketable
    -0.60
     beads
    -0.60
    POSITIVE LOGITS
    based
    1.47
    level
    1.31
    grown
    1.30
    specific
    1.27
    building
    1.24
    borne
    1.21
    area
    1.19
    builders
    1.17
    mounted
    1.16
    resident
    1.13
    Activations Density 0.053%

    No Known Activations