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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. 2-RES-JB
    6. 18709
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    Explanations

    words related to animals and habitats

    oai_token-act-pair · gpt-3.5-turbo

    references to tiger cubs and their conservation or availability

    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
     Broadway
    -0.67
    cipled
    -0.67
    Money
    -0.66
    Priv
    -0.65
    Student
    -0.65
    Bey
    -0.63
    yrics
    -0.62
    ento
    -0.62
     billing
    -0.62
    channelAvailability
    -0.62
    POSITIVE LOGITS
     species
    0.97
     animals
    0.90
     beetle
    0.87
     organisms
    0.86
     worms
    0.85
     biologist
    0.84
    species
    0.84
     specimens
    0.84
     larvae
    0.81
     mammals
    0.81
    Activations Density 0.451%

    No Known Activations