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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. 7600
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    Explanations

    phrases related to real estate and occupancy

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rental properties and occupants

    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
    otine
    -0.83
    aque
    -0.79
    obin
    -0.76
    inx
    -0.76
    acebook
    -0.75
    ascar
    -0.72
    iq
    -0.71
    umenthal
    -0.70
    Downloadha
    -0.70
    atform
    -0.70
    POSITIVE LOGITS
     tenant
    1.10
     tenants
    1.07
     landlords
    0.89
     evict
    0.85
    ele
    0.81
     renters
    0.80
     landlord
    0.78
    iffs
    0.76
     tenancy
    0.76
     eviction
    0.73
    Activations Density 0.024%

    No Known Activations