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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. 336
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    Explanations

    food and drink related phrases

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "ready"

    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
    orp
    -0.85
    ĸļ
    -0.81
    amel
    -0.70
     disproportion
    -0.69
    agram
    -0.68
    asa
    -0.67
    oid
    -0.66
    odd
    -0.66
    auri
    -0.66
    loo
    -0.64
    POSITIVE LOGITS
     Ready
    0.90
    Ready
    0.76
     ready
    0.74
    itude
    0.74
    ready
    0.74
    NAS
    0.72
    fire
    0.72
    arity
    0.70
    housing
    0.70
    made
    0.66
    Activations Density 0.034%

    No Known Activations