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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. 6-RES-JB
    11. 10824
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    Explanations

    words related to ships and ship-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific ships

    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
    çīĪ
    -0.88
    âĶģ
    -0.82
     confir
    -0.73
    theless
    -0.73
    okers
    -0.73
    ADRA
    -0.73
    osate
    -0.69
    PsyNetMessage
    -0.69
    VID
    -0.66
    ipes
    -0.63
    POSITIVE LOGITS
    wreck
    1.70
    wright
    1.25
    yard
    1.24
    yards
    1.14
     Graveyard
    1.10
    building
    1.08
    shape
    1.05
    mates
    1.01
     Yamato
    0.99
    builders
    0.99
    Activations Density 0.027%

    No Known Activations