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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

    names or mentions of inns or hotels

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Inn" or types of inns

    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
     fixation
    -0.74
     Dele
    -0.68
    NetMessage
    -0.68
     parachute
    -0.68
     WATCHED
    -0.67
    asma
    -0.66
     seizures
    -0.66
     subscribed
    -0.66
    taboola
    -0.65
     wrest
    -0.65
    POSITIVE LOGITS
     Inn
    4.19
     inn
    1.90
     Tavern
    1.28
    inn
    1.25
     Outs
    1.09
     motel
    1.01
     Innocent
    0.98
     tavern
    0.93
     Lodge
    0.92
     Myst
    0.92
    Activations Density 0.027%

    No Known Activations