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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
    11. 3764
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    Explanations

    references to specific locations, with a particular focus on the borough of Queens

    oai_token-act-pair · gpt-3.5-turbo

    references to the borough of Queens and related geographic locations

    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
    aneous
    -0.77
    inen
    -0.75
    akable
    -0.72
    aq
    -0.68
    angible
    -0.67
    ischer
    -0.67
     Sanskrit
    -0.66
     WATCHED
    -0.65
    ËĪ
    -0.64
    ritional
    -0.63
    POSITIVE LOGITS
     Borough
    0.97
    boro
    0.97
     borough
    0.90
     Queens
    0.87
    borough
    0.83
    lander
    0.82
    burgh
    0.81
    port
    0.80
     Harbor
    0.77
     Alley
    0.77
    Activations Density 0.021%

    No Known Activations