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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. 5-RES-JB
    6. 4581
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    Explanations

    references to the city of Buffalo

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Buffalo" and its associated context, particularly related to sports teams and local references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    egal
    -0.88
    ially
    -0.79
    olation
    -0.74
    olate
    -0.72
     accur
    -0.70
    enemy
    -0.68
    olated
    -0.67
    VICE
    -0.66
    aunder
    -0.66
    arget
    -0.65
    POSITIVE LOGITS
     Trace
    1.13
     Niagara
    1.10
     Sabres
    1.04
     Bills
    1.00
     Springfield
    0.84
    illac
    0.79
    halla
    0.78
    stones
    0.78
    town
    0.76
     Bay
    0.74
    Activations Density 0.009%

    No Known Activations