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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. 0-RES-JB
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    Explanations

    references to a specific word or concept, "anda."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "panda."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fluids
    -0.65
     hub
    -0.62
     hubs
    -0.59
     1914
    -0.59
     heating
    -0.58
     brim
    -0.58
     turn
    -0.58
     catch
    -0.58
     heat
    -0.57
     Viking
    -0.57
    POSITIVE LOGITS
    anda
    4.55
    andan
    1.78
    andum
    1.63
    andi
    1.23
    ando
    1.20
    ande
    1.18
    ita
    1.16
    anga
    1.12
    onda
    1.06
    enda
    1.05
    Activations Density 0.006%

    No Known Activations