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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. 23667
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    Explanations

    mentions of residents in different contexts or scenarios

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "residents" in various contexts

    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
    anche
    -0.80
    achu
    -0.75
    enegger
    -0.74
    icer
    -0.70
    Bone
    -0.69
    Prev
    -0.67
    lda
    -0.65
    SourceFile
    -0.65
    ilde
    -0.64
    kefeller
    -0.64
    POSITIVE LOGITS
    hips
    1.16
    hip
    1.08
    folk
    0.92
     living
    0.75
     residing
    0.75
    chool
    0.74
     residents
    0.74
     Residents
    0.74
     who
    0.71
     resident
    0.70
    Activations Density 0.040%

    No Known Activations