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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. 4-RES-JB
    11. 2101
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    Explanations

    words related to locations, particularly those near bodies of water

    oai_token-act-pair · gpt-3.5-turbo

    references to waterfront locations or settings

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

    No Comments

    Negative Logits
    chell
    -0.81
    ucket
    -0.67
    ARP
    -0.66
    ARR
    -0.66
    acca
    -0.65
    BIT
    -0.65
    ascript
    -0.65
    STEM
    -0.65
    BIP
    -0.64
    onga
    -0.64
    POSITIVE LOGITS
    tyard
    0.85
    side
    0.83
    raits
    0.82
    front
    0.79
    porate
    0.76
    ument
    0.75
    eous
    0.75
    estine
    0.74
     Plaza
    0.71
    ship
    0.71
    Activations Density 0.010%

    No Known Activations