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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 6995
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    Explanations

    mention of the location "Bristol"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Bristol and references to the Pebble brand or product

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    matic
    -0.68
    ept
    -0.65
    selves
    -0.64
    adena
    -0.63
    activation
    -0.62
    ced
    -0.62
    istics
    -0.62
    tainment
    -0.59
    atra
    -0.59
    istical
    -0.59
    POSITIVE LOGITS
    reath
    0.85
     Palin
    0.82
    hirt
    0.80
     Seym
    0.76
    ategory
    0.74
    entimes
    0.74
    mouth
    0.72
    ienne
    0.70
    leeve
    0.67
    ature
    0.67
    Activations Density 0.031%

    No Known Activations