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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
    11. 10111
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    Explanations

    phrases mentioning specific names of individuals, possibly related to sports or politics

    oai_token-act-pair · gpt-3.5-turbo

    names, primarily of people involved in media or entertainment

    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
     Creatures
    -0.77
     Nom
    -0.76
     Ninja
    -0.75
     Drone
    -0.71
     wings
    -0.71
     NR
    -0.68
     Tracker
    -0.67
    unity
    -0.66
     Blues
    -0.64
     Jaw
    -0.64
    POSITIVE LOGITS
    ichen
    3.80
    iegel
    2.46
    isner
    1.48
    isel
    1.33
    tein
    1.26
    estern
    1.25
    essler
    1.22
    ardon
    1.18
    infeld
    1.12
    analysis
    1.04
    Activations Density 0.040%

    No Known Activations