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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. 2-RES-JB
    11. 22571
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    Explanations

    words related to water environments or activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to aquaculture and aquatic environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mock
    -0.76
     Dak
    -0.73
    NEY
    -0.72
     Bradford
    -0.70
    ORE
    -0.68
     Blazers
    -0.68
    âķIJâķIJ
    -0.67
     Towns
    -0.64
     Hiroshima
    -0.64
    AGES
    -0.64
    POSITIVE LOGITS
     aqu
    1.16
    aqu
    1.10
    itures
    0.96
    isition
    0.93
    icol
    0.93
    idd
    0.90
    ith
    0.87
    isitions
    0.87
    lio
    0.87
    izoph
    0.86
    Activations Density 0.007%

    No Known Activations